Senior Data Platform Engineer – Analytics & AI

Job not on LinkedIn

🔥 33 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 16%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 126 days.
• No salary listed.

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DistantJob

WebsiteLinkedInAll Job Openings

51 - 200 employees

🎯 Recruiter

👥 HR Tech

☁️ SaaS

Recruitment • HR Tech • SaaS

DistantJob is a remote staffing agency specializing in the recruitment of top-tier technical talent from around the world. Unlike traditional outsourcing firms or freelance sites, DistantJob focuses on offering headhunting services to find individuals who fit specific job requirements and company cultures. They provide cost-effective staffing solutions by sourcing talent from offshore locations while maintaining high quality and retention standards. DistantJob takes a tailored approach to recruitment, ensuring candidates have both the hard and soft skills needed for success, and facilitating a seamless integration into client companies.

📋 Description

• Own the Microsoft Fabric platform end-to-end, including lakehouses, mirrors, notebooks, pipelines, reliability, monitoring, and capacity cost • Administer DOMO and migrate reporting to curated Fabric tables with consistent metric definitions • Model, organize, and document data for AI agents in Azure AI Foundry • Build and maintain MCP server and API connectors for internal data access, including tool schemas, permission scopes, and logging • Assess the current setup and propose architecture and tooling changes with costs and trade-offs • Move approved architecture and tooling changes to production • Secure and govern data through least-privilege access, PII handling, data quality, lineage, privacy, and accreditation compliance • Work with Git, code review, and pull requests in Bitbucket and Azure DevOps

🎯 Requirements

• 6+ years of data engineering on a cloud data platform • Hands-on Microsoft Fabric, or deep Synapse or Databricks experience and willingness to go deep on Fabric • Delivered data platform changes end to end: recommended, designed, built and ran them in production • Strong SQL and Python (PySpark) • Data modeling for lakehouse and reporting • BI platform administration: DOMO preferred, Power BI acceptable • Working knowledge of how AI agents consume data: RAG, embeddings, semantic metadata, APIs or MCP servers as tools • Azure fundamentals and data security: Entra ID, Key Vault, RBAC, row-level security, PII handling • Experience with AI coding tools • Habit of documentation and clear communication with non-technical colleagues • Hands-on experience running a production data platform that other teams depend on • BA/BS in Computer Science, Information Systems or related, or equivalent experience • Preferred: Azure AI Foundry or similar agent platform • Preferred: MCP server development • Preferred: Learning or assessment data • Preferred: Microsoft DP-700 certification

🏖️ Benefits

• Fully remote, long-term opportunity • Agile-first teams • Broadly distributed staff • Collaborative knowledge-sharing environment

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